all AI news
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (arXiv:2104.05522v5 [cs.LG] UPDATED)
Jan. 28, 2022, 2:11 a.m. | Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafał Weron, Artur Dubrawski
cs.LG updates on arXiv.org arxiv.org
We extend the neural basis expansion analysis (NBEATS) to incorporate
exogenous factors. The resulting method, called NBEATSx, improves on a well
performing deep learning model, extending its capabilities by including
exogenous variables and allowing it to integrate multiple sources of useful
information. To showcase the utility of the NBEATSx model, we conduct a
comprehensive study of its application to electricity price forecasting (EPF)
tasks across a broad range of years and markets. We observe state-of-the-art
performance, significantly improving the forecast …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Engineer - Data Science Operations
@ causaLens | London - Hybrid, England, United Kingdom
F0138 - LLM Developer (AI NLP)
@ Ubiquiti Inc. | Taipei
Staff Engineer, Database
@ Nagarro | Gurugram, India
Artificial Intelligence Assurance Analyst
@ Booz Allen Hamilton | USA, VA, McLean (8251 Greensboro Dr)